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Balint Balazs   Mr.  University Lecturer 
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Balint Balazs published an article in December 2017.
Top co-authors
Gyorgy Pataki

8 shared publications

Budapesti Corvinus Egyetem, Környezetgazdaságtani és Technológiai Tanszék; Környezeti Társadalomkutatók (ESSRG), Gödöllő; Akciókutatók a Fenntarthatóságért Egyesület (AKUT), Szeged

Alexandra Köves

7 shared publications

Corvinus University of Budapest, Budapest, Hungary

Gabor Kiraly

5 shared publications

Department of Economics and Social Sciences; Budapest Business School; Budapest Hungary

Orsolya Lazányi

1 shared publications

Publication Record
Distribution of Articles published per year 
(2009 - 2017)
Total number of journals
published in
Publications See all
Article 0 Reads 1 Citation Evaluation of participatory planning: Lessons from Hungarian Natura 2000 management planning processes Eszter Kovács, Eszter Kelemen, Gabriella Kiss, Ágnes Kalóczk... Published: 01 December 2017
Journal of Environmental Management, doi: 10.1016/j.jenvman.2017.09.028
DOI See at publisher website PubMed View at PubMed
Article 0 Reads 0 Citations Contradictions between political leadership and systems thinking Gábor Király, Alexandra Köves, Bálint Balázs Published: 01 January 2017
Journal of Cleaner Production, doi: 10.1016/j.jclepro.2015.05.131
DOI See at publisher website
Article 0 Reads 2 Citations Prospects for the future: Community supported agriculture in Hungary Bálint Balázs, György Pataki, Orsolya Lazányi Published: 01 October 2016
Futures, doi: 10.1016/j.futures.2016.03.005
DOI See at publisher website
PREPRINT 0 Reads 0 Citations Collective Awareness Platforms and Digital Social Innovation Mediating Consensus Seeking in Problem Situations Atta Badii, Franco Bagnoli, Bálint Balázs, Tommaso Castellan... Published: 15 September 2016
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In this paper we show the results of our studies carried out in the framework of the European Project SciCafe2.0 in the area of Participatory Engagement models. We present a methodological approach built on participative engagements models and holistic framework for problem situation clarification and solution impacts assessment. Several online platforms for social engagement have been analysed to extract the main patterns of participative engagement. We present our own experiments through the SciCafe2.0 Platform and our insights from requirements elicitation.
Conference 0 Reads 2 Citations Collective Awareness Platforms and Digital Social Innovation Mediating Consensus Seeking in Problem Situations Atta Badii, Franco Bagnoli, Balint Balazs, Tommaso Castellan... Published: 25 August 2016
Advances in Nonlinear Speech Processing, doi: 10.1007/978-3-319-45982-0_5
DOI See at publisher website
Article 0 Reads 16 Citations Learning and the transformative potential of citizen science Györgyi Bela, Taru Peltola, Juliette C. Young, Bálint Balázs... Published: 24 June 2016
Conservation Biology, doi: 10.1111/cobi.12762
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The number of collaborative initiatives between scientists and volunteers (i.e., citizen science) is increasing across many research fields. The promise of societal transformation together with scientific breakthroughs contributes to the current popularity of citizen science (CS) in the policy domain. We examined the transformative capacity of citizen science in particular learning through environmental CS as conservation tool. We reviewed the CS and social-learning literature and examined 14 conservation projects across Europe that involved collaborative CS. We also developed a template that can be used to explore learning arrangements (i.e., learning events and materials) in CS projects and to explain how the desired outcomes can be achieved through CS learning. We found that recent studies aiming to define CS for analytical purposes often fail to improve the conceptual clarity of CS; CS programs may have transformative potential, especially for the development of individual skills, but such transformation is not necessarily occurring at the organizational and institutional levels; empirical evidence on simple learning outcomes, but the assertion of transformative effects of CS learning is often based on assumptions rather than empirical observation; and it is unanimous that learning in CS is considered important, but in practice it often goes unreported or unevaluated. In conclusion, we point to the need for reliable and transparent measurement of transformative effects for democratization of knowledge production.This article is protected by copyright. All rights reserved